Headline

Data Analyst | SQL/Python/Azure | Revenue Forecasting + Cloud Data Engineering | Open to Data Analyst & Data Engineer roles

About

I'm a Data Analyst with 3.5 years of experience working across both enterprise and startup environments. At TCS, I worked closely with finance and operations teams on billing systems handling over ₹2 Crore annually — building forecasting models, catching revenue leakage through SQL-based anomaly detection, and designing Power BI dashboards that leadership actually used to make decisions. Before that work felt like "reporting," I helped turn it into something closer to financial intelligence. At Vindago, I shifted gears into a leaner, faster environment — automating geospatial workflows with Python, validating API data pipelines, and building tracking dashboards for a field mapping team. Less process, more ownership. The through-line across both roles: I don't just build reports. I ask what the business is actually trying to decide, and work backwards from there. What I work with day-to-day: SQL (SAP HANA, MySQL) · Power BI (DAX, Power Query) · Python (Pandas, NumPy, scikit-learn) · Revenue & KPI Analytics · Forecasting · Reporting Automation Some things I've actually delivered: → 35% faster query runtime on multi-year billing datasets → 85% billing forecast accuracy, up from ~45% → 10+ analyst hours saved per week through pipeline automation → 15% improvement in billing accuracy via anomaly detection I'm currently looking for Data Analyst, BI Analyst, or Power BI Developer roles where the work has a direct impact on revenue or operational decisions — ideally in a team that takes data quality seriously. If my background fits what you're hiring for, I'd love to connect. You can reach me at nikhil.devalapalli@gmail.com or message me directly here on LinkedIn.

Location

Hyderabad

Work experience

Career transition at Career Break, May 2025 - Present · 1 yr 1 mo, Hyderabad, Telangana, May 2025 — Present: Career Transition | Data Analytics & Upskilling • Built production-style Power BI dashboards with optimized data models and DAX for business KPIs • Solved advanced SQL problems involving window functions, CTEs, and performance optimization • Developed and explained an end-to-end LSTM-based time series forecasting project with evaluation metrics. • Focused on converting analytics work into interview-ready, real-world business scenarios.

Data Analyst at Vindago Innovations LLP, Aug 2024 - Apr 2025 · 9 mos, Hyderabad, Telangana, India, As a Data Analyst specializing in GIS at a startup, I was responsible for managing and analyzing spatial datasets to support operational and strategic initiatives. I worked extensively with SQL and Python to extract, preprocess, and automate data workflows, ensuring clean and consistent inputs for geospatial analysis. My primary focus was on data preprocessing, cleaning raw geospatial data formats such as GeoJSON, Shapefiles, and KML, and performing spatial operations using GeoPandas. I developed automated Python scripts to handle repetitive geospatial data tasks, significantly improving efficiency and reducing manual processing time. I also supported geospatial mapping projects by building visualizations using Kepler.gl, enabling interactive exploration of asset locations, urban features, and infrastructure layouts. These contributions not only improved internal data workflows but also enhanced the team’s ability to deliver accurate, map-based insights to stakeholders. My role involved close collaboration with developers and product leads to align data solutions with business goals in a fast-paced, startup environment.

Assistant System Engineer at Tata Consultancy Services, Jan 2022 - Aug 2024 · 2 yrs 8 mos, Hyderabad, Telangana, India, I put together Power BI dashboards along with some LSTM-based forecasting models. They bumped up the billing forecast accuracy by 85 percent, you know. I automated those reports using Python and SQL on SAP HANA. It ended up saving 10 analyst hours every single week. I delivered insights that cut down revenue leakage by 15 percent. They also made KPI reporting a lot better.

Education

Bachelor of Technology - BTech, Mechanical Engineering, Kakatiya Institute of Technology & Science, Yerragattu Hillocks, Bheemaram, Hasanparthy, Warangal

Public links

github: https://github.com/SaiNikhil013